Change Actions: Models of Generalised Differentiation

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Abstract

Change structures, introduced by Cai et al., have recently been proposed as a semantic framework for incremental computation. We generalise change actions, an alternative to change structures, to arbitrary cartesian categories and propose the notion of change action model as a categorical model for (higher-order) generalised differentiation. Change action models naturally arise from many geometric and computational settings, such as (generalised) cartesian differential categories, group models of discrete calculus, and Kleene algebra of regular expressions. We show how to build canonical change action models on arbitrary cartesian categories, reminiscent of the Fàa di Bruno construction.

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Alvarez-Picallo, M., & Ong, C. H. L. (2019). Change Actions: Models of Generalised Differentiation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11425 LNCS, pp. 45–61). Springer Verlag. https://doi.org/10.1007/978-3-030-17127-8_3

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